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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
16 years 1 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
STACS
2010
Springer
15 years 11 months ago
Online Correlation Clustering
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes. Upon arrival of v, ...
Claire Mathieu, Ocan Sankur, Warren Schudy
ICDE
2010
IEEE
331views Database» more  ICDE 2010»
15 years 11 months ago
Navigation system for product search
Abstract— We demonstrate Product EntityCube, a product recommendation and navigation system. While the unprecedented scale of a product search portal enables to satisfy users wit...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
IROS
2008
IEEE
230views Robotics» more  IROS 2008»
15 years 10 months ago
Visual recognition of grasps for human-to-robot mapping
— This paper presents a vision based method for grasp classification. It is developed as part of a Programming by Demonstration (PbD) system for which recognition of objects and...
Hedvig Kjellström, Javier Romero, Danica Krag...
ICDE
2006
IEEE
169views Database» more  ICDE 2006»
15 years 10 months ago
Unsupervised Outlier Detection in Time Series Data
Fraud detection is of great importance to financial institutions. This paper is concerned with the problem of finding outliers in time series financial data using Peer Group Analy...
Zakia Ferdousi, Akira Maeda